Performance Comparison and Selection Criterion of Sparse Array for Near-Field Focusing

Yang, Xiaodi; Cheng, Yu Jian

doi:10.1109/ucmmt45316.2018.9015725

Cited by 1 publication

(1 citation statement)

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“…For the near-field case, an array antenna with the triangular topology is used to optimise the focusing performance [20]. It proves the feasibility to realise a sparse near-field focusing sparse array antenna simply based on the array topology, which has been discussed briefly in [21]. In order to understand it clearly, more rigorous performance comparison of different array topologies, including the square grid, the circular grid, and the triangular grid, is necessary for the sparse near-field focusing array antenna.…”

Section: Introductionmentioning

confidence: 90%

Investigation of sparse near‐field focusing array antenna with different topologies

Yang

Cheng

2019

IET Microwaves, Antennas & Propagation

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The method to efficiently design a sparse near‐field focusing sparse array antenna is introduced here. First, the calculation model and analysis method of three array topologies including the square grid, the circular grid, and the regular triangular grid are established. The evaluation criterion is the lowest sparsity under the condition that the focusing performance of the sparse array approaches to that of a referenced focusing array with the element spacing of a half of one wavelength. After comparing the focusing performance of these array antennas with different grids, the circular‐grid array is the optimal one and selected to further discuss the influence of different topology parameters. The optimal sparse near‐field focusing array should have the constant distance between two adjacent rings and increase three elements compared with the last ring. Finally, the method based on the proposed selection criteria is employed to design a sparse near‐field focusing sparse array. The correctness of the method has been validated by the full‐wave simulated results.

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Section: Introductionmentioning

confidence: 90%